Vector Makes Observability Data Simple

Vector is an open-source utility for collecting, transforming, and routing logs, metrics, and events.

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Source 1

Source 2

Source 3

Sink 1

Sink 2

Sink 3

Sources, Transforms and Sinks

1. Take data from sources

2. Structure & transform it

3. Send it to sinks

Features

Blistering Fast

Blistering Fast

Built in Rust, Vector is blistering fast and memory efficient. It's designed to handle the most demanding environments.

Easy To Operate

Vendor Neutral

Vector does not favor any specific storage. It fosters a fair, open ecosystem with the user's best interest in mind.

Distributed or Centralized

Agent or Service

Vector aims to be the single, and only, tool needed to get data from A to B, deploying as an agent or service.

Logs or Metrics

Logs, Metrics, & Events

Vector unifies logs, metrics, and events at the source, making it collect and ship all observability data.

Programmable Transforms

Programmable Transforms

An embedded LUA engine makes it easy to program powerful transforms. Handle complex use cases without limitations.

Reliable Delivery

Clear Guarantees

Vector is clear on it's guarantees, helping you to make the appropriate trade offs for your use case.

Performance

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Select a Test

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Correctness

	Vector	Filebeat	FluentBit	FluentD	Logstash	SplunkHF	SplunkUF
Disk buffer persistence	✔	✔	𝘅	𝘅	⚠	✔	✔
File rotate (create)	✔	✔	✔	✔	✔	✔	✔
File rotate (copytruncate)	✔	𝘅	𝘅	𝘅	𝘅	✔	✔
File truncation	✔	✔	✔	✔	✔	✔	✔
Process (SIGHUP)	✔	𝘅	𝘅	𝘅	⚠	✔	✔
TCP Streaming	✔	𝘅	𝘅	𝘅	𝘅	✔	✔
JSON (wrapped)	✔	✔	𝘅	✔	✔	✔	✔

One solution for any deployment model

Simple To Configure

vector.toml

Configuration Flow

[sources.logs]
   type = 'file'
   include = ['/var/log/app*.log']
   start_at_beginning = false
   ignore_older = 3600

Define One Or More Data Sources

view all sources

[transforms.tokenizer]
   inputs = ['logs']
   type = 'tokenizer'
   field_names = ["timestamp", "level", "message"]

Parse & Transform

view all transforms

[transforms.sampler]
   inputs = ['tokenizer']
   type = 'sampler'
   hash_field = 'request_id'
   rate = 10

Transactionally Sample

view all transforms

[sinks.es_cluster]
   inputs = ['sampler']
   type = 'elasticsearch'
   host = '123.123.123.123:5000'

Analyze & Search

[sinks.s3_archive]
   inputs = ['tokenizer']
   type = 's3'
   region = 'us-east-1'
   bucket = 'log-archives'
   key_prefix = 'date=%F'

Archive & Backup

view all configuration options

Gives You Super Powers

Gives You Super Powers

Ready to use Vector?

Get started by downloading Vector and following the install instructions.

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Roadmap

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v1.0

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